Graph Capabilities with the Elastic Stack

Elasticsearch can power graph exploration at scale by collecting signals like clicks or purchases to identify meaningful connections between subjects on the fly. Watch this video for a preview and demo of Graph capabilities in the Elastic Stack, including:

Detecting Sources of Risk - What are the shared behaviors of people trying to hack my website?

Recommending Content - If users bought this type of gardening gloves, what other products might they be interested in?

Identifying Relationships - Which people on Stack Overflow have expertise in both Hadoop-related technologies and python-related tech?

Graph lets users leverage the relevance and distributed query execution capabilities of Elasticsearch — and we look forward to telling you how.

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Mark Harwood

Mark Harwood is a software engineer at Elastic and long-time contributor to Lucene. Prior to joining Elastic, Mark was Chief Scientist at BAE Systems Detica, designing search and visualization systems on multi-billion document solutions for analysts in commercial and government clients.

Steve Kearns

Steve is director of product management, focused on Elasticsearch and commercial products at Elastic. Prior to Elastic, he worked at DataGravity and Basis Technology, where he designed and deployed text analytics and search technologies to solve interesting problems for some of the world's most successful companies.